Mine wireless channel estimation algorithm based on recursive residual network

Aiming at the problem of signal quality degradation caused by multipath propagation in mine wireless channel estimation, a recursive residual network based mine wireless channel estimation algorithm is proposed. Through deep learning technology, the algorithm uses recursive structure to capture the time-varying characteristics of the channel effectively, so as to improve the reliability of signal transmission. Experimental results show that under the 3GPP channel model, the proposed method is significantly better than the traditional estimation technique under different channel conditions.